🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data. You'll build and optimize ETL pipelines and data lake infrastructure to support business intelligence and analytics. This role offers 100% remote work and an opportunity to shape a high-performance engineering culture.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of structured and unstructured data
• Partner closely with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance workflows

📋 Requirements

• 5+ years of experience in data engineering within cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices

✨ Nice to Have

• Experience supporting BI, analytics, and engineering teams
• Familiarity with Looker dashboards
• Mentoring and shaping engineering culture

🎁 Benefits & Perks

• 🏖️ 100% Remote team spanning 15+ countries
• 💡 High-growth culture with ownership and impact
• 📈 Career acceleration through fast-paced environment
• 🌍 Global team with diverse perspectives

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Apply online· 15 min
2. 2Recruiter phone screen· 30 min
3. 3Technical interview· 60 min
4. 4Hiring manager interview· 45 min